Abstract

The joint use of satellite and ground-based data for monitoring the major grain crops during the autumn and spring-summer vegetation periods is considered. The developed method for quantifying winter grain crop conditions at the end of the autumn vegetation (the area of winter crops in poor condition) is described. Satellite data are used to calculate average long-term dynamics of the normalized difference vegetation index (NDVI) for the major grain crops in the spring-summer period. Taking into account meteorological observations, this allows assessing crop conditions as compared with those in the previous year or with the multiyear mean, in particular, in the years with droughts. Based on the revealed relationships of the NDVI with the crop yield in the regions of the European part of Russia, the periods of the most effective agrometeorological forecasting of the yield are found for the major grain crops. The developed methods for forecasting the yield of winter and all grain crops in the main grain-growing regions of the Russian Federation are presented.

中文翻译：

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在农业气象预报中使用卫星信息

摘要

考虑联合使用卫星和地面数据监测秋季和春夏季植被期间的主要粮食作物。描述了在秋季植被结束时（冬季作物状况不佳的区域）量化冬季粮食作物状况的开发方法。卫星数据用于计算春夏主要粮食作物归一化植被指数（NDVI）的平均长期动态。考虑到气象观测，这可以评估与前一年或多年平均值相比的作物状况，特别是在干旱年份。根据揭示的 NDVI 与俄罗斯欧洲部分地区作物产量的关系，对主要粮食作物的产量进行最有效的农业气象预报的时期。介绍了预测俄罗斯联邦主要粮食产区冬季和所有粮食作物产量的已开发方法。